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ICIP
2010
IEEE
13 years 7 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
COLT
2003
Springer
14 years 2 months ago
Preference Elicitation and Query Learning
Abstract. In this paper we initiate an exploration of relationships between “preference elicitation”, a learning-style problem that arises in combinatorial auctions, and the pr...
Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, M...
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 10 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
ECTEL
2007
Springer
14 years 3 months ago
Learning Tools in Higher Education: Products, Characteristics, Procurement
Abstract. Technology-enhanced learning has gained momentum in European Higher Education, especially in recent years. In what way this movement has influenced organisations, their ...
Fridolin Wild, Stefan Sobernig
ALT
2006
Springer
14 years 1 months ago
Learning and Extending Sublanguages
A number of natural models for learning in the limit is introduced to deal with the situation when a learner is required to provide a grammar covering the input even if only a par...
Sanjay Jain, Efim B. Kinber